Data Scientist (Modelling, Centre for Net Zero)
—
Requirements • Understanding of energy systems, including areas such as electricity grids, transmission and distribution, balancing supply and demand, or energy markets, • Experience building quantitative models to solve real-world problems (e.g. optimisation, simulation, statistical, or machine learning models), • Comfortable working with messy, real-world data at scale (e.g. geospatial or household data), • Fluency in Python, • Software development practices (e.g. git, testing, code review), • Proactive curiosity: you independently research unfamiliar topics, think about the wider strategic context of your work, and care about real-world impact, • (Desirable) Experience with open-source energy systems modelling frameworks (e.g. PyPSA, Calliope), • (Desirable) Familiarity with demand flexibility, electrification of heating and transport, or energy demand data such as smart meter data, • (Desirable) Understanding of how energy systems and data differ across countries, • (Desirable) SQL and experience with large-scale or cloud-based data tools (e.g. GCP, BigQuery, dbt), • (Desirable) Experience deploying and monitoring models in production, • (Desirable) Experience contributing to open-source projects or publishing research, • Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire What the job involves • We are looking for a Data Scientist with a focus on Energy Systems Modelling to join the Data & Modelling team, • The primary focus will be the research, prototyping, development, and deployment of complex energy systems models, • You will also work on other data projects within Centre for Net Zero, • Examples of projects we’ve worked on are predicting whether a household owns low-carbon technologies, like an electric vehicle or heat pump and building a model of the UK energy grid to understand the impact of energy flexibility on fossil fuel generation, • Research and develop open-source models to help decarbonise the energy system, • Build and extend models, analyse data, and build data pipelines in Python, • Work with unique energy datasets including smart meter data at national scale and data from large-scale randomised control trials, • Maintain and improve our published models and data products, • Work alongside economists, policy experts, and other data scientists, to shape research questions and modelling approaches, and to drive real-world policy and system change, • Contribute to open-source tools, open data, and our published research, • Present your work internally and at conferences and events
| Skill | Source | Confidence |
|---|---|---|
| Python | llm_hard |
100%
|
| Data Pipelines | llm_hard |
100%
|
| Git | llm_hard |
100%
|
| Model Deployment | llm_hard |
80%
|
| Exploratory Data Analysis (EDA) | llm_hard |
80%
|
| SQL | llm_hard |
80%
|
| Supervised Learning | llm_hard |
80%
|
| Skill | Source | Confidence |
|---|---|---|
| Analytical Thinking | llm_soft |
100%
|
| Presentation Skills | llm_soft |
100%
|
| Research Skills | llm_soft |
100%
|
| Cross-Functional Communication | llm_soft |
100%
|
| Written Communication | llm_soft |
100%
|
| Teamwork | llm_soft |
100%
|
| Collaboration | llm_soft |
100%
|
| Problem-Solving | llm_soft |
100%
|
| Critical Thinking | llm_soft |
100%
|
| Continuous Learning | llm_soft |
80%
|
| Stakeholder Communication | llm_soft |
80%
|
| Innovation | llm_soft |
80%
|
| Verbal Communication | llm_soft |
80%
|
| Query | Country | Status | Response ms | Created |
|---|---|---|---|---|
| Data Scientist (Modelling, Centre for Net Zero) | extracted | 5331 | 2026-03-22 02:14 | |
| Data Scientist (Modelling, Centre for Net Zero) | classified | 424 | 2026-03-21 20:56 | |
| junior data scientist in London | gb | processed | 15834 | 2026-03-21 16:54 |
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